Triple
T2537823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of New Jersey |
E56310
|
entity |
| Predicate | officialResidenceAddress |
P32934
|
FINISHED |
| Object | 354 Stockton Street |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 354 Stockton Street | Statement: [Governor of New Jersey, officialResidenceAddress, 354 Stockton Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialResidenceAddress Context triple: [Governor of New Jersey, officialResidenceAddress, 354 Stockton Street]
-
A.
officeHolderResidence
chosen
Indicates that a person holding an office resides or is officially based at a particular location or residence.
-
B.
headOfStateAddress
Indicates that one entity is the official address or location associated with the head of state of another entity.
-
C.
residenceAssociatedWithOffice
Indicates a relationship where a residence is connected or linked to a particular office, such as being located at, attached to, or officially designated for that office.
-
D.
residenceOfHeadOfGovernment
Indicates the place where the head of government officially resides.
-
E.
residenceWhileInOffice
Indicates the place where a person lives or is officially resident during the period they hold a particular office or position.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd64a2194819097c66cbeb37fe859 |
completed | March 7, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69abd0c4a5dc819097812db50443420a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.